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eauchs/README.md

Théophile Lafargue

Founder & CTO — Sub Specie Aeternitatis · Paris

Sovereign LLM inference where networks end — 2G/SMS, LoRa, satellite. The model runs on-premise. No data leaves the machine. Patent FR2511116 (INPI, filed Sep 2025, 11 claims, under examination).

200,000+ views on r/LocalLLaMA release posts · 32,800+ downloads on my open-source model builds (12,100 in the last 30 days) First public MLX/GGUF builds of 4 frontier models · PRs merged into llama.cpp, unsloth, StepFun Cookbook

Available for contract work — Apple Silicon LLM inference: KV-cache optimization, quantization, speculative decoding, throughput tuning. → contact@aeternitatis.eu


Shipped

Model build What it was All-time Last 30d
DeepSeek-V4-Flash-0731 GGUF quants (IQ2_XXS / Q2_K / Q4_K) + the 430 MB imatrix collected on the 0731 weights 9,697 9,697
MiniMax-M2.5 (230B MoE) First public GGUF quants — 87k views on r/LocalLLaMA, integrated into ubergarm's reference quantization chart 13,890 88
Laguna M.1 (225B-A23B MoE) First Apple Silicon build of Poolside's frontier release — 3-bit, ~26 t/s, ~100 GB peak on M3 Max 128GB. Featured by Poolside. 4,707 1,322
Hy3-295B-Instruct Mixed-precision MLX build w/ MTP 2,038 524
MiniMax-M2.7 (229B MoE) First public GGUF quants — Q3_K_L + Q8_0, PPL 8.44, 28.5 t/s · 17k views on r/LocalLLaMA 732 35
Qwen3-VL-32B-Thinking GGUF quants 249 41

Datasets: mythos-character-distillation (1,328) · lace-semantic-compression (211)

HuggingFace counts exclude GGUF files pulled directly via llama.cpp / Ollama / direct download — real usage is higher. Member of mlx-community.


Upstream contributions

PR What it does Status
llama.cpp #20075 Fix state corruption in speculative decoding on hybrid SSM/MoE models. +45% inference speed on Apple Silicon Metal. Closed in prior of other — cited as prior work in #20428 and #20649
llama.cpp #20649 Mistral Small 4 (119B MoE) support — diagnostic + fix. Merged — alongside ggerganov, ngxson
unsloth #4901 Fix RoPE offset cast crashing Gemma 4 inference on Apple Silicon. Merged by danielhanchen (creator)
StepFun Cookbook #14 Local deployment architecture for Step-3.5-Flash on Apple Silicon. Merged
mlx-lm #1415 Laguna M.1 (225B-A23B MoE) architecture for mlx-lm. Not merged upstream — weights shipped directly (4.7k downloads)

Projects

mlx-dflash Native MLX port of DFlash speculative decoding. 3.34× faster inference on Apple Silicon — Qwen3-8B bf16, M3 Max 128GB, 1024 tokens. Acceptance 8.68/16. Single mx.eval() per step, intra-GPU verify_ids.
modex (private) Fully local assistant stack running on my own published DeepSeek-V4-Flash quant. Terminal client in C on top of ds4-server: persistent memory, 43 tools (6 native + 37 MCP — sandboxed exec, web), 11 skills, 5 grounding packs, 131k-token context with on-disk KV cache. Companion iOS app (SwiftUI) over a private Tailscale network. Zero cloud.
grounding-engine Keep a local LLM honest: the model proposes validated, typed deltas instead of mutating state — invalid changes are rejected before they exist. Anti-hallucination by construction. Zero deps, OpenAI-compatible, MIT. Powers modex's grounding packs and a fully offline grand-strategy engine.
LACE Semantic compression under LoRa/SMS physical constraints. Cognitive Emergence Law: N/K < C·d_cog, C_emp = 0.391 ≈ 1/e. K=16 optimal deployment parameter (p=0.0034). Preprint: HAL hal-05596229 · Zenodo
mythos Behavioral distillation into Gemma 4 26B MoE via LoRA (r=64, 30 layers). 551 pairs, val loss 1.398, 7/7 out-of-distribution generalization without system prompt. 80 t/s on M3 Max.
patent-low-bandwidth-ai (private) Reference gateway for stateful LLM dialogue over 2G / SMS — companion implementation to FR2511116. End-to-end SMS round trip under 10 s, fully offline, commodity hardware.
speech-to-speech-pipeline Real-time interruptible (barge-in) STT-LLM-TTS pipeline, fully local, MLX-optimized.
VoxTape Local voice dictation for macOS. MLX Whisper on Metal: 8.3s audio → 0.4s inference (20× real-time).

Stack

Inference — llama.cpp · MLX · Metal · GGUF · speculative decoding · quantization AI/ML — LoRA · Transformers · VQ-VAE · RAG · Whisper · RLHF Protocols — LoRa / 2G / SMS / satellite · stateful gateway Languages — Python · C++ · Rust Infra — bare-metal homelab · M3 Max 128GB · Tailscale


Student-Entrepreneur — Pépite PEIPS, Université Paris-Saclay ORCID 0009-0001-5727-2475

Site · LinkedIn · Substack · HuggingFace · X

Pinned Loading

  1. speech-to-speech-pipeline speech-to-speech-pipeline Public

    A real-time, interruptible (barge-in) conversational AI pipeline (STT-LLM-TTS) running locally. Optimized for Apple Silicon (MLX).

    Python 10 1

  2. mlx-dflash mlx-dflash Public

    3.34× faster inference on Apple Silicon — native MLX port of DFlash speculative decoding

    Python 19 4

  3. ggml-org/llama.cpp ggml-org/llama.cpp Public

    LLM inference in C/C++

    C++ 127k 22.6k

  4. unslothai/unsloth unslothai/unsloth Public

    Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.

    Python 75.4k 6.8k

  5. ml-explore/mlx-lm ml-explore/mlx-lm Public

    Run LLMs with MLX

    Python 6.8k 1k